Algorithm Engineer – Student Position (60%)

Algorithm Engineer – Student Position (60%) – Digital Health Sector

Position Overview:

We are seeking a motivated and talented Algorithm Engineer Student to join our team and contribute to the development and implementation of cutting-edge computer vision algorithms

This is a 60% student position (3 days per week), offering a unique opportunity to gain hands-on experience as part of a world-class computer vision team. The selected student will actively contribute to research, development, and deployment of innovative AI-driven solutions for real-time clinical decision-making.

Position Type: Student Position – 60% (3 days/week)

Start date: Immediate

Key Responsibilities:

• Hands-On Research and Development:
• Design, develop, and optimize computer vision algorithms for real-time imaging and analytics tailored to endovascular decision support.
• Conduct experiments, fine-tune models, and analyze results to ensure robustness and accuracy in clinical environments.
• Collaborate with data engineers to build pipelines for processing and managing medical imaging datasets, including X-ray, CT and fluoroscopy.
• Product Development and Deployment:
• Collaborate with product & software teams to understand clinician needs and implement suitable solutions.
• Establish metrics and benchmarks to evaluate model performance in clinical environments.
• Ground Truth Development & Performance Validation:
• Design and implement ground truth methodologies, including annotation protocols and validation strategies, in collaboration with clinical stakeholders.
• Develop and refine ground truth markings for medical imaging datasets to support supervised learning and performance benchmarking.
• Build and maintain internal tools for algorithm performance testing, validation, and robustness analysis in real-world clinical scenarios.
• Contribute to the continuous improvement of evaluation pipelines to ensure regulatory-grade documentation and reproducibility.

Requirements:

• Student for a master's degree or higher in electrical engineering, computer science or a relevant scientific degree.
• Proven experience in Computer Vision (from research, projects, or coursework).
• Hands-on experience with deep learning frameworks such as PyTorch.
• Solid knowledge in Python.
• Strong theoretical and practical understanding of deep learning, particularly for computer vision tasks.
• Strong mathematical skills and analytical thinking.
• Availability to work approximately 3 days per week (60% position) – on-site in Ramat-Gan.
• Research in related fields – advantage
• Background in Medical image processing - advantage